411599
2
Joaquin Vanschoren
4417
Supervised Classification
predictive_accuracy
1186
weka.Dagging_DecisionStump(3)
2037
weka.classifiers.meta.Dagging -- -F 10 -S 1 -W weka.classifiers.trees.DecisionStump
F
10
1186
S
1
1186
W
weka.classifiers.trees.DecisionStump
1186
weka
weka_3.7.12
847
wind
https://www.openml.org/data/download/53381/wind.arff
-1
1433908
description
https://api.openml.org/data/download/1433908/weka_generated_run6493320243892923571.xml
-1
1433911
model_readable
https://api.openml.org/data/download/1433911/WekaModel_weka.classifiers.meta.Dagging5972033664033775165.model
-1
1433910
model_serialized
https://api.openml.org/data/download/1433910/WekaSerialized_weka.classifiers.meta.Dagging8175415683263088210.model
-1
1433909
predictions
https://api.openml.org/data/download/1433909/weka_generated_predictions3556459061641845565.arff
area_under_roc_curve
0.88592 [0.88592,0.88592]
average_cost
0
f_measure
0.81999 [0.830967,0.807483]
kappa
0.63845
kb_relative_information_score
29285.67651
mean_absolute_error
0.298978
mean_prior_absolute_error
0.497881
number_of_instances
65740 [35010,30730]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.819991 [0.831086,0.807352]
predictive_accuracy
0.819988
prior_entropy
0.996942
recall
0.819988 [0.830848,0.807615]
relative_absolute_error
0.6005
root_mean_prior_squared_error
0.498939
root_mean_squared_error
0.365896
root_relative_squared_error
0.733348
scimark_benchmark
933.091786 [561.029481566851, 1002.3172918916703, 430.5300088475373, 906.4453790826606, 1765.136766288487]
total_cost
0
usercpu_time_millis
30
usercpu_time_millis_testing
0
usercpu_time_millis_training
30
area_under_roc_curve
0.879122 [0.879122,0.879122]
area_under_roc_curve
0.863558 [0.863558,0.863558]
area_under_roc_curve
0.900624 [0.900624,0.900624]
area_under_roc_curve
0.901424 [0.901424,0.901424]
area_under_roc_curve
0.888276 [0.888276,0.888276]
area_under_roc_curve
0.898318 [0.898318,0.898318]
area_under_roc_curve
0.890979 [0.890979,0.890979]
area_under_roc_curve
0.896489 [0.896489,0.896489]
area_under_roc_curve
0.891074 [0.891074,0.891074]
area_under_roc_curve
0.885984 [0.885984,0.885984]
area_under_roc_curve
0.872245 [0.872245,0.872245]
area_under_roc_curve
0.879865 [0.879865,0.879865]
area_under_roc_curve
0.887681 [0.887681,0.887681]
area_under_roc_curve
0.873191 [0.873191,0.873191]
area_under_roc_curve
0.909573 [0.909573,0.909573]
area_under_roc_curve
0.870009 [0.870009,0.870009]
area_under_roc_curve
0.892922 [0.892922,0.892922]
area_under_roc_curve
0.873233 [0.873233,0.873233]
area_under_roc_curve
0.884341 [0.884341,0.884341]
area_under_roc_curve
0.910023 [0.910023,0.910023]
area_under_roc_curve
0.917769 [0.917769,0.917769]
area_under_roc_curve
0.890028 [0.890028,0.890028]
area_under_roc_curve
0.876424 [0.876424,0.876424]
area_under_roc_curve
0.892565 [0.892565,0.892565]
area_under_roc_curve
0.891892 [0.891892,0.891892]
area_under_roc_curve
0.893701 [0.893701,0.893701]
area_under_roc_curve
0.899726 [0.899726,0.899726]
area_under_roc_curve
0.903057 [0.903057,0.903057]
area_under_roc_curve
0.898956 [0.898956,0.898956]
area_under_roc_curve
0.871095 [0.871095,0.871095]
area_under_roc_curve
0.897936 [0.897936,0.897936]
area_under_roc_curve
0.891775 [0.891775,0.891775]
area_under_roc_curve
0.881025 [0.881025,0.881025]
area_under_roc_curve
0.88984 [0.88984,0.88984]
area_under_roc_curve
0.887681 [0.887681,0.887681]
area_under_roc_curve
0.876823 [0.876823,0.876823]
area_under_roc_curve
0.891395 [0.891395,0.891395]
area_under_roc_curve
0.888692 [0.888692,0.888692]
area_under_roc_curve
0.897537 [0.897537,0.897537]
area_under_roc_curve
0.878006 [0.878006,0.878006]
area_under_roc_curve
0.875849 [0.875849,0.875849]
area_under_roc_curve
0.849944 [0.849944,0.849944]
area_under_roc_curve
0.883322 [0.883322,0.883322]
area_under_roc_curve
0.860549 [0.860549,0.860549]
area_under_roc_curve
0.87644 [0.87644,0.87644]
area_under_roc_curve
0.876342 [0.876342,0.876342]
area_under_roc_curve
0.878855 [0.878855,0.878855]
area_under_roc_curve
0.878069 [0.878069,0.878069]
area_under_roc_curve
0.87409 [0.87409,0.87409]
area_under_roc_curve
0.882396 [0.882396,0.882396]
area_under_roc_curve
0.867515 [0.867515,0.867515]
area_under_roc_curve
0.903718 [0.903718,0.903718]
area_under_roc_curve
0.900535 [0.900535,0.900535]
area_under_roc_curve
0.902364 [0.902364,0.902364]
area_under_roc_curve
0.879698 [0.879698,0.879698]
area_under_roc_curve
0.879437 [0.879437,0.879437]
area_under_roc_curve
0.843681 [0.843681,0.843681]
area_under_roc_curve
0.89255 [0.89255,0.89255]
area_under_roc_curve
0.882536 [0.882536,0.882536]
area_under_roc_curve
0.901131 [0.901131,0.901131]
area_under_roc_curve
0.897497 [0.897497,0.897497]
area_under_roc_curve
0.89684 [0.89684,0.89684]
area_under_roc_curve
0.892117 [0.892117,0.892117]
area_under_roc_curve
0.887059 [0.887059,0.887059]
area_under_roc_curve
0.905514 [0.905514,0.905514]
area_under_roc_curve
0.855351 [0.855351,0.855351]
area_under_roc_curve
0.887073 [0.887073,0.887073]
area_under_roc_curve
0.89624 [0.89624,0.89624]
area_under_roc_curve
0.879902 [0.879902,0.879902]
area_under_roc_curve
0.881159 [0.881159,0.881159]
area_under_roc_curve
0.873727 [0.873727,0.873727]
area_under_roc_curve
0.859725 [0.859725,0.859725]
area_under_roc_curve
0.876533 [0.876533,0.876533]
area_under_roc_curve
0.885058 [0.885058,0.885058]
area_under_roc_curve
0.876063 [0.876063,0.876063]
area_under_roc_curve
0.902057 [0.902057,0.902057]
area_under_roc_curve
0.861531 [0.861531,0.861531]
area_under_roc_curve
0.880731 [0.880731,0.880731]
area_under_roc_curve
0.878776 [0.878776,0.878776]
area_under_roc_curve
0.901038 [0.901038,0.901038]
area_under_roc_curve
0.885826 [0.885826,0.885826]
area_under_roc_curve
0.892206 [0.892206,0.892206]
area_under_roc_curve
0.912592 [0.912592,0.912592]
area_under_roc_curve
0.883304 [0.883304,0.883304]
area_under_roc_curve
0.87926 [0.87926,0.87926]
area_under_roc_curve
0.882583 [0.882583,0.882583]
area_under_roc_curve
0.873439 [0.873439,0.873439]
area_under_roc_curve
0.829497 [0.829497,0.829497]
area_under_roc_curve
0.900223 [0.900223,0.900223]
area_under_roc_curve
0.87477 [0.87477,0.87477]
area_under_roc_curve
0.855147 [0.855147,0.855147]
area_under_roc_curve
0.899428 [0.899428,0.899428]
area_under_roc_curve
0.869916 [0.869916,0.869916]
area_under_roc_curve
0.880856 [0.880856,0.880856]
area_under_roc_curve
0.867846 [0.867846,0.867846]
area_under_roc_curve
0.894663 [0.894663,0.894663]
area_under_roc_curve
0.900907 [0.900907,0.900907]
area_under_roc_curve
0.880033 [0.880033,0.880033]
area_under_roc_curve
0.881824 [0.881824,0.881824]
area_under_roc_curve
0.885482 [0.885482,0.885482]
average_cost
0
average_cost
0
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0
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0
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0
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0
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0
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0
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f_measure
0.814795 [0.820059,0.808777]
f_measure
0.808222 [0.823034,0.791391]
f_measure
0.828818 [0.847411,0.80756]
f_measure
0.828365 [0.836941,0.81862]
f_measure
0.81162 [0.82235,0.799353]
f_measure
0.849684 [0.856313,0.842105]
f_measure
0.840535 [0.848046,0.832]
f_measure
0.809922 [0.823197,0.794745]
f_measure
0.81479 [0.819527,0.809375]
f_measure
0.819301 [0.822123,0.816074]
f_measure
0.817815 [0.823009,0.811912]
f_measure
0.829872 [0.838617,0.819936]
f_measure
0.820782 [0.82948,0.810897]
f_measure
0.825133 [0.836879,0.811784]
f_measure
0.852647 [0.860432,0.8438]
f_measure
0.811742 [0.817109,0.805643]
f_measure
0.831127 [0.843441,0.817133]
f_measure
0.808578 [0.818966,0.796774]
f_measure
0.829941 [0.833333,0.826087]
f_measure
0.843532 [0.851799,0.834138]
f_measure
0.851213 [0.85503,0.846875]
f_measure
0.81451 [0.826705,0.800654]
f_measure
0.812418 [0.829876,0.79258]
f_measure
0.81568 [0.831241,0.797997]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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kb_relative_information_score
309.316603
kb_relative_information_score
286.28705
kb_relative_information_score
292.713287
kb_relative_information_score
292.994631
kb_relative_information_score
281.280552
kb_relative_information_score
290.84906
kb_relative_information_score
293.835425
kb_relative_information_score
280.548389
kb_relative_information_score
290.992829
kb_relative_information_score
303.378207
kb_relative_information_score
302.165362
kb_relative_information_score
288.060231
kb_relative_information_score
284.761331
kb_relative_information_score
275.148008
kb_relative_information_score
292.783732
kb_relative_information_score
265.984224
kb_relative_information_score
282.972338
kb_relative_information_score
289.60505
kb_relative_information_score
287.652557
kb_relative_information_score
290.010957
kb_relative_information_score
288.259626
kb_relative_information_score
291.494034
kb_relative_information_score
286.229192
kb_relative_information_score
306.608728
kb_relative_information_score
304.370343
kb_relative_information_score
302.156132
kb_relative_information_score
293.113491
kb_relative_information_score
292.954842
kb_relative_information_score
267.255798
kb_relative_information_score
302.53975
kb_relative_information_score
293.419502
kb_relative_information_score
291.718835
kb_relative_information_score
308.146649
kb_relative_information_score
295.724125
kb_relative_information_score
303.569494
kb_relative_information_score
294.660667
kb_relative_information_score
299.194885
kb_relative_information_score
281.088666
kb_relative_information_score
296.363581
kb_relative_information_score
309.7177
kb_relative_information_score
288.299784
kb_relative_information_score
269.207897
kb_relative_information_score
286.179796
kb_relative_information_score
275.014918
kb_relative_information_score
271.621663
kb_relative_information_score
289.399524
kb_relative_information_score
285.869777
kb_relative_information_score
304.653063
kb_relative_information_score
289.124747
kb_relative_information_score
299.146887
kb_relative_information_score
281.693155
kb_relative_information_score
300.594974
kb_relative_information_score
304.641282
kb_relative_information_score
292.888453
kb_relative_information_score
312.14981
kb_relative_information_score
300.12106
kb_relative_information_score
290.687962
kb_relative_information_score
283.110801
kb_relative_information_score
293.288545
kb_relative_information_score
257.295483
kb_relative_information_score
290.320989
kb_relative_information_score
292.774449
kb_relative_information_score
267.524328
kb_relative_information_score
308.63317
kb_relative_information_score
275.155652
kb_relative_information_score
284.579294
kb_relative_information_score
290.693366
kb_relative_information_score
288.761529
kb_relative_information_score
299.861075
kb_relative_information_score
289.748281
kb_relative_information_score
287.170268
kb_relative_information_score
281.395
mean_absolute_error
0.294921
mean_absolute_error
0.30679
mean_absolute_error
0.286702
mean_absolute_error
0.297821
mean_absolute_error
0.301753
mean_absolute_error
0.280243
mean_absolute_error
0.286178
mean_absolute_error
0.297133
mean_absolute_error
0.298562
mean_absolute_error
0.296575
mean_absolute_error
0.302363
mean_absolute_error
0.295255
mean_absolute_error
0.307261
mean_absolute_error
0.295424
mean_absolute_error
0.283477
mean_absolute_error
0.299667
mean_absolute_error
0.296906
mean_absolute_error
0.308943
mean_absolute_error
0.290031
mean_absolute_error
0.283464
mean_absolute_error
0.283625
mean_absolute_error
0.299832
mean_absolute_error
0.301096
mean_absolute_error
0.291585
mean_absolute_error
0.297183
mean_absolute_error
0.299169
mean_absolute_error
0.292519
mean_absolute_error
0.290446
mean_absolute_error
0.287583
mean_absolute_error
0.302806
mean_absolute_error
0.299294
mean_absolute_error
0.299367
mean_absolute_error
0.306627
mean_absolute_error
0.300699
mean_absolute_error
0.299182
mean_absolute_error
0.308236
mean_absolute_error
0.301103
mean_absolute_error
0.292552
mean_absolute_error
0.292119
mean_absolute_error
0.302672
mean_absolute_error
0.303323
mean_absolute_error
0.309044
mean_absolute_error
0.298613
mean_absolute_error
0.316656
mean_absolute_error
0.30597
mean_absolute_error
0.300938
mean_absolute_error
0.301767
mean_absolute_error
0.301302
mean_absolute_error
0.301401
mean_absolute_error
0.299382
mean_absolute_error
0.302573
mean_absolute_error
0.289606
mean_absolute_error
0.292719
mean_absolute_error
0.29324
mean_absolute_error
0.298349
mean_absolute_error
0.298827
mean_absolute_error
0.315275
mean_absolute_error
0.293045
mean_absolute_error
0.298783
mean_absolute_error
0.300187
mean_absolute_error
0.2884
mean_absolute_error
0.296822
mean_absolute_error
0.291532
mean_absolute_error
0.297623
mean_absolute_error
0.295075
mean_absolute_error
0.306431
mean_absolute_error
0.295697
mean_absolute_error
0.287601
mean_absolute_error
0.302304
mean_absolute_error
0.315253
mean_absolute_error
0.303477
mean_absolute_error
0.31073
mean_absolute_error
0.312791
mean_absolute_error
0.300768
mean_absolute_error
0.303491
mean_absolute_error
0.290833
mean_absolute_error
0.300935
mean_absolute_error
0.29516
mean_absolute_error
0.306343
mean_absolute_error
0.294872
mean_absolute_error
0.291284
mean_absolute_error
0.299186
mean_absolute_error
0.287123
mean_absolute_error
0.294088
mean_absolute_error
0.299824
mean_absolute_error
0.30557
mean_absolute_error
0.29722
mean_absolute_error
0.32185
mean_absolute_error
0.302027
mean_absolute_error
0.299075
mean_absolute_error
0.315967
mean_absolute_error
0.289139
mean_absolute_error
0.311204
mean_absolute_error
0.304364
mean_absolute_error
0.299976
mean_absolute_error
0.302446
mean_absolute_error
0.29454
mean_absolute_error
0.300538
mean_absolute_error
0.301826
mean_absolute_error
0.306401
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497824
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.497923
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
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0.49787
mean_prior_absolute_error
0.49787
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0.49787
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0.49787
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0.49787
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0.49787
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0.49787
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0.49787
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mean_prior_absolute_error
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mean_prior_absolute_error
0.49787
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0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
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mean_prior_absolute_error
0.49787
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0.49787
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mean_prior_absolute_error
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mean_prior_absolute_error
0.49787
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mean_prior_absolute_error
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0.49787
mean_prior_absolute_error
0.49787
mean_prior_absolute_error
0.49787
number_of_instances
658 [351,307]
number_of_instances
658 [350,308]
number_of_instances
658 [351,307]
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number_of_instances
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
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657 [350,307]
number_of_instances
657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
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657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
number_of_instances
657 [350,307]
precision
0.817168 [0.850153,0.779456]
precision
0.808475 [0.809392,0.807432]
precision
0.831856 [0.81201,0.854545]
precision
0.82865 [0.845481,0.809524]
precision
0.81175 [0.827089,0.794212]
precision
0.850488 [0.872781,0.825]
precision
0.84096 [0.859238,0.820189]
precision
0.809908 [0.817416,0.801325]
precision
0.817535 [0.852308,0.777778]
precision
0.823578 [0.86478,0.776471]
precision
0.819828 [0.85061,0.784848]
precision
0.830096 [0.84593,0.812102]
precision
0.821137 [0.839181,0.800633]
precision
0.825133 [0.830986,0.818482]
precision
0.852809 [0.866667,0.837061]
precision
0.813748 [0.844512,0.778788]
precision
0.83126 [0.832869,0.829431]
precision
0.808705 [0.823699,0.791667]
precision
0.833102 [0.869565,0.791667]
precision
0.843697 [0.857971,0.827476]
precision
0.853626 [0.886503,0.816265]
precision
0.814492 [0.822034,0.805921]
precision
0.813778 [0.80429,0.824561]
precision
0.81635 [0.811989,0.821306]
precision
0.826827 [0.83908,0.812903]
precision
0.829787 [0.84,0.818182]
precision
0.828176 [0.833803,0.821782]
precision
0.833284 [0.850877,0.813291]
precision
0.836909 [0.823529,0.852113]
precision
0.801485 [0.821114,0.77918]
precision
0.830847 [0.854167,0.804348]
precision
0.823162 [0.846154,0.796875]
precision
0.802949 [0.832827,0.768997]
precision
0.817629 [0.82906,0.80456]
precision
0.820678 [0.820442,0.820946]
precision
0.814487 [0.818436,0.81]
precision
0.831438 [0.844828,0.816129]
precision
0.831433 [0.84438,0.81672]
precision
0.819117 [0.82906,0.807818]
precision
0.825771 [0.869427,0.776163]
precision
0.802996 [0.834862,0.766667]
precision
0.782451 [0.810241,0.750769]
precision
0.824312 [0.856269,0.787879]
precision
0.782738 [0.77748,0.788732]
precision
0.814463 [0.811475,0.817869]
precision
0.82008 [0.806366,0.835714]
precision
0.806137 [0.78553,0.82963]
precision
0.825711 [0.846608,0.801887]
precision
0.808307 [0.821839,0.79288]
precision
0.815745 [0.824363,0.805921]
precision
0.805847 [0.826471,0.782334]
precision
0.842452 [0.88125,0.79822]
precision
0.83858 [0.842697,0.833887]
precision
0.841706 [0.841667,0.841751]
precision
0.814914 [0.806452,0.824561]
precision
0.826847 [0.820652,0.83391]
precision
0.782303 [0.794872,0.767974]
precision
0.850494 [0.874627,0.822981]
precision
0.828637 [0.819407,0.839161]
precision
0.824865 [0.829132,0.82]
precision
0.837109 [0.846154,0.826797]
precision
0.819261 [0.813008,0.826389]
precision
0.829653 [0.826923,0.832765]
precision
0.821956 [0.833811,0.808442]
precision
0.819249 [0.801047,0.84]
precision
0.805279 [0.803279,0.80756]
precision
0.815869 [0.82808,0.801948]
precision
0.834338 [0.849275,0.817308]
precision
0.819428 [0.811321,0.828671]
precision
0.805536 [0.8,0.811847]
precision
0.812992 [0.809264,0.817241]
precision
0.806607 [0.815864,0.796053]
precision
0.798264 [0.829268,0.762918]
precision
0.808708 [0.827485,0.787302]
precision
0.811672 [0.805405,0.818815]
precision
0.835695 [0.847701,0.822006]
precision
0.809671 [0.811634,0.807432]
precision
0.830174 [0.85,0.807571]
precision
0.811672 [0.805405,0.818815]
precision
0.840724 [0.831978,0.850694]
precision
0.834338 [0.849275,0.817308]
precision
0.825044 [0.85241,0.793846]
precision
0.849383 [0.876506,0.818462]
precision
0.829713 [0.843931,0.813505]
precision
0.812725 [0.814404,0.810811]
precision
0.817338 [0.81768,0.816949]
precision
0.803527 [0.811268,0.794702]
precision
0.770563 [0.8,0.737003]
precision
0.831915 [0.820375,0.84507]
precision
0.818212 [0.840237,0.793103]
precision
0.795749 [0.820896,0.767081]
precision
0.85079 [0.857955,0.842623]
precision
0.811158 [0.819209,0.80198]
precision
0.814205 [0.822034,0.805281]
precision
0.815917 [0.843373,0.784615]
precision
0.824092 [0.844118,0.801262]
precision
0.832693 [0.815303,0.852518]
precision
0.815796 [0.826211,0.803922]
precision
0.808708 [0.827485,0.787302]
precision
0.808418 [0.823699,0.790997]
predictive_accuracy
0.81459
predictive_accuracy
0.808511
predictive_accuracy
0.829787
predictive_accuracy
0.828267
predictive_accuracy
0.81155
predictive_accuracy
0.849544
predictive_accuracy
0.840426
predictive_accuracy
0.81003
predictive_accuracy
0.81459
predictive_accuracy
0.819149
predictive_accuracy
0.817629
predictive_accuracy
0.829787
predictive_accuracy
0.820669
predictive_accuracy
0.825228
predictive_accuracy
0.852584
predictive_accuracy
0.81155
predictive_accuracy
0.831307
predictive_accuracy
0.808511
predictive_accuracy
0.829787
predictive_accuracy
0.843465
predictive_accuracy
0.851064
predictive_accuracy
0.81459
predictive_accuracy
0.81307
predictive_accuracy
0.816109
predictive_accuracy
0.826748
predictive_accuracy
0.829787
predictive_accuracy
0.828267
predictive_accuracy
0.832827
predictive_accuracy
0.835866
predictive_accuracy
0.800912
predictive_accuracy
0.829787
predictive_accuracy
0.822188
predictive_accuracy
0.800912
predictive_accuracy
0.817629
predictive_accuracy
0.820669
predictive_accuracy
0.81459
predictive_accuracy
0.831307
predictive_accuracy
0.831307
predictive_accuracy
0.819149
predictive_accuracy
0.820669
predictive_accuracy
0.800609
predictive_accuracy
0.780822
predictive_accuracy
0.821918
predictive_accuracy
0.782344
predictive_accuracy
0.814307
predictive_accuracy
0.818874
predictive_accuracy
0.803653
predictive_accuracy
0.824962
predictive_accuracy
0.808219
predictive_accuracy
0.81583
predictive_accuracy
0.805175
predictive_accuracy
0.838661
predictive_accuracy
0.838661
predictive_accuracy
0.841705
predictive_accuracy
0.814307
predictive_accuracy
0.826484
predictive_accuracy
0.782344
predictive_accuracy
0.849315
predictive_accuracy
0.828006
predictive_accuracy
0.824962
predictive_accuracy
0.837139
predictive_accuracy
0.818874
predictive_accuracy
0.829528
predictive_accuracy
0.821918
predictive_accuracy
0.817352
predictive_accuracy
0.805175
predictive_accuracy
0.81583
predictive_accuracy
0.834094
predictive_accuracy
0.818874
predictive_accuracy
0.805175
predictive_accuracy
0.812785
predictive_accuracy
0.806697
predictive_accuracy
0.796043
predictive_accuracy
0.808219
predictive_accuracy
0.811263
predictive_accuracy
0.835616
predictive_accuracy
0.809741
predictive_accuracy
0.829528
predictive_accuracy
0.811263
predictive_accuracy
0.840183
predictive_accuracy
0.834094
predictive_accuracy
0.82344
predictive_accuracy
0.847793
predictive_accuracy
0.829528
predictive_accuracy
0.812785
predictive_accuracy
0.817352
predictive_accuracy
0.803653
predictive_accuracy
0.768645
predictive_accuracy
0.83105
predictive_accuracy
0.817352
predictive_accuracy
0.794521
predictive_accuracy
0.850837
predictive_accuracy
0.811263
predictive_accuracy
0.814307
predictive_accuracy
0.814307
predictive_accuracy
0.82344
predictive_accuracy
0.83105
predictive_accuracy
0.81583
predictive_accuracy
0.808219
predictive_accuracy
0.808219
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
prior_entropy
0.996942
recall
0.81459 [0.792023,0.840391]
recall
0.808511 [0.837143,0.775974]
recall
0.829787 [0.88604,0.765472]
recall
0.828267 [0.828571,0.827922]
recall
0.81155 [0.817664,0.80456]
recall
0.849544 [0.840456,0.859935]
recall
0.840426 [0.837143,0.844156]
recall
0.81003 [0.82906,0.788274]
recall
0.81459 [0.789174,0.843648]
recall
0.819149 [0.783476,0.859935]
recall
0.817629 [0.797143,0.840909]
recall
0.829787 [0.831429,0.827922]
recall
0.820669 [0.82,0.821429]
recall
0.825228 [0.842857,0.805195]
recall
0.852584 [0.854286,0.850649]
recall
0.81155 [0.791429,0.834416]
recall
0.831307 [0.854286,0.805195]
recall
0.808511 [0.814286,0.801948]
recall
0.829787 [0.8,0.863636]
recall
0.843465 [0.845714,0.840909]
recall
0.851064 [0.825714,0.87987]
recall
0.81459 [0.831429,0.795455]
recall
0.81307 [0.857143,0.762987]
recall
0.816109 [0.851429,0.775974]
recall
0.826748 [0.834286,0.818182]
recall
0.829787 [0.84,0.818182]
recall
0.828267 [0.845714,0.808442]
recall
0.832827 [0.831429,0.834416]
recall
0.835866 [0.88,0.785714]
recall
0.800912 [0.8,0.801948]
recall
0.829787 [0.82,0.840909]
recall
0.822188 [0.814815,0.830619]
recall
0.800912 [0.782857,0.821429]
recall
0.817629 [0.82906,0.80456]
recall
0.820669 [0.848571,0.788961]
recall
0.81459 [0.837143,0.788961]
recall
0.831307 [0.837607,0.824104]
recall
0.831307 [0.837143,0.824675]
recall
0.819149 [0.831429,0.805195]
recall
0.820669 [0.78,0.866883]
recall
0.800609 [0.78,0.824104]
recall
0.780822 [0.768571,0.794788]
recall
0.821918 [0.8,0.846906]
recall
0.782344 [0.828571,0.729642]
recall
0.814307 [0.848571,0.775244]
recall
0.818874 [0.868571,0.762215]
recall
0.803653 [0.868571,0.729642]
recall
0.824962 [0.82,0.830619]
recall
0.808219 [0.817143,0.798046]
recall
0.81583 [0.831429,0.798046]
recall
0.805175 [0.802857,0.807818]
recall
0.838661 [0.805714,0.876221]
recall
0.838661 [0.857143,0.81759]
recall
0.841705 [0.865714,0.814332]
recall
0.814307 [0.857143,0.765472]
recall
0.826484 [0.862857,0.785016]
recall
0.782344 [0.797143,0.765472]
recall
0.849315 [0.837143,0.863192]
recall
0.828006 [0.868571,0.781759]
recall
0.824962 [0.845714,0.801303]
recall
0.837139 [0.848571,0.824104]
recall
0.818874 [0.857143,0.775244]
recall
0.829528 [0.86,0.794788]
recall
0.821918 [0.831429,0.811075]
recall
0.817352 [0.874286,0.752443]
recall
0.805175 [0.84,0.765472]
recall
0.81583 [0.825714,0.80456]
recall
0.834094 [0.837143,0.830619]
recall
0.818874 [0.86,0.771987]
recall
0.805175 [0.845714,0.758958]
recall
0.812785 [0.848571,0.771987]
recall
0.806697 [0.822857,0.788274]
recall
0.796043 [0.777143,0.81759]
recall
0.808219 [0.808571,0.807818]
recall
0.811263 [0.851429,0.765472]
recall
0.835616 [0.842857,0.827362]
recall
0.809741 [0.837143,0.778502]
recall
0.829528 [0.825714,0.833876]
recall
0.811263 [0.851429,0.765472]
recall
0.840183 [0.877143,0.798046]
recall
0.834094 [0.837143,0.830619]
recall
0.82344 [0.808571,0.840391]
recall
0.847793 [0.831429,0.86645]
recall
0.829528 [0.834286,0.824104]
recall
0.812785 [0.84,0.781759]
recall
0.817352 [0.845714,0.785016]
recall
0.803653 [0.822857,0.781759]
recall
0.768645 [0.754286,0.785016]
recall
0.83105 [0.874286,0.781759]
recall
0.817352 [0.811429,0.824104]
recall
0.794521 [0.785714,0.80456]
recall
0.850837 [0.862857,0.837134]
recall
0.811263 [0.828571,0.791531]
recall
0.814307 [0.831429,0.794788]
recall
0.814307 [0.8,0.830619]
recall
0.82344 [0.82,0.827362]
recall
0.83105 [0.882857,0.771987]
recall
0.81583 [0.828571,0.801303]
recall
0.808219 [0.808571,0.807818]
recall
0.808219 [0.814286,0.801303]
relative_absolute_error
0.59242
relative_absolute_error
0.616139
relative_absolute_error
0.57591
relative_absolute_error
0.598126
relative_absolute_error
0.606144
relative_absolute_error
0.562937
relative_absolute_error
0.574743
relative_absolute_error
0.596864
relative_absolute_error
0.599734
relative_absolute_error
0.595742
relative_absolute_error
0.607248
relative_absolute_error
0.592973
relative_absolute_error
0.617086
relative_absolute_error
0.593312
relative_absolute_error
0.569318
relative_absolute_error
0.601835
relative_absolute_error
0.59629
relative_absolute_error
0.620463
relative_absolute_error
0.582482
relative_absolute_error
0.569293
relative_absolute_error
0.569616
relative_absolute_error
0.602165
relative_absolute_error
0.604703
relative_absolute_error
0.585604
relative_absolute_error
0.596845
relative_absolute_error
0.600833
relative_absolute_error
0.587479
relative_absolute_error
0.583315
relative_absolute_error
0.577565
relative_absolute_error
0.608138
relative_absolute_error
0.601086
relative_absolute_error
0.601352
relative_absolute_error
0.615811
relative_absolute_error
0.604028
relative_absolute_error
0.600859
relative_absolute_error
0.619043
relative_absolute_error
0.604839
relative_absolute_error
0.587545
relative_absolute_error
0.586675
relative_absolute_error
0.60787
relative_absolute_error
0.609241
relative_absolute_error
0.620733
relative_absolute_error
0.59978
relative_absolute_error
0.636021
relative_absolute_error
0.614557
relative_absolute_error
0.604451
relative_absolute_error
0.606116
relative_absolute_error
0.605182
relative_absolute_error
0.60538
relative_absolute_error
0.601325
relative_absolute_error
0.607735
relative_absolute_error
0.581689
relative_absolute_error
0.587943
relative_absolute_error
0.588989
relative_absolute_error
0.59925
relative_absolute_error
0.600211
relative_absolute_error
0.633248
relative_absolute_error
0.588598
relative_absolute_error
0.600123
relative_absolute_error
0.602943
relative_absolute_error
0.579268
relative_absolute_error
0.596184
relative_absolute_error
0.585558
relative_absolute_error
0.597793
relative_absolute_error
0.592675
relative_absolute_error
0.615485
relative_absolute_error
0.593924
relative_absolute_error
0.577663
relative_absolute_error
0.607194
relative_absolute_error
0.633203
relative_absolute_error
0.609551
relative_absolute_error
0.624118
relative_absolute_error
0.628258
relative_absolute_error
0.60411
relative_absolute_error
0.609578
relative_absolute_error
0.584154
relative_absolute_error
0.604445
relative_absolute_error
0.592845
relative_absolute_error
0.615306
relative_absolute_error
0.592267
relative_absolute_error
0.58506
relative_absolute_error
0.600931
relative_absolute_error
0.576703
relative_absolute_error
0.590692
relative_absolute_error
0.602213
relative_absolute_error
0.613755
relative_absolute_error
0.596982
relative_absolute_error
0.646453
relative_absolute_error
0.606638
relative_absolute_error
0.600709
relative_absolute_error
0.634638
relative_absolute_error
0.580753
relative_absolute_error
0.625071
relative_absolute_error
0.611333
relative_absolute_error
0.602518
relative_absolute_error
0.60748
relative_absolute_error
0.591599
relative_absolute_error
0.603648
relative_absolute_error
0.606234
relative_absolute_error
0.615424
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498882
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498981
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_prior_squared_error
0.498928
root_mean_squared_error
0.365482
root_mean_squared_error
0.377367
root_mean_squared_error
0.351092
root_mean_squared_error
0.358353
root_mean_squared_error
0.368888
root_mean_squared_error
0.344685
root_mean_squared_error
0.352457
root_mean_squared_error
0.363635
root_mean_squared_error
0.364845
root_mean_squared_error
0.365111
root_mean_squared_error
0.370407
root_mean_squared_error
0.363514
root_mean_squared_error
0.367758
root_mean_squared_error
0.365913
root_mean_squared_error
0.340786
root_mean_squared_error
0.376702
root_mean_squared_error
0.358472
root_mean_squared_error
0.377817
root_mean_squared_error
0.357005
root_mean_squared_error
0.345189
root_mean_squared_error
0.341155
root_mean_squared_error
0.365668
root_mean_squared_error
0.368162
root_mean_squared_error
0.358563
root_mean_squared_error
0.364559
root_mean_squared_error
0.363896
root_mean_squared_error
0.354627
root_mean_squared_error
0.355608
root_mean_squared_error
0.352994
root_mean_squared_error
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